code: def _eliminate_list_slice(
      shape: tuple, slice_: multidim_slice
  ) -> multidim_slice:
      # get rid of list of slice
      result = []
      for i in range(len(slice_)):
          if isinstance(slice_[i], list):
              # convert list of slices to mask
              mask = np.zeros(shape[i], dtype=bool)  # type: ignore
              for sl in cast(List[slice], slice_[i]):
                  mask[sl] = 1
              result.append(mask)
          else:
              result.append(slice_[i])
      return tuple(result)
  
imports: from __future__ import annotations
  import operator
  from typing import Callable, Iterator, TypeVar, Any, Optional, Tuple, Union, List, Dict, Generic, cast
  import numpy
  import torch
label_desc: Use image node_id 2 for calling a global function with example usage: _eliminate_list_slice(shape, slice_) and returns: tuple